Abhiroop Bhattacharjee

51 papers A* 3A 7C 2Misc 2Journal 35Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Exploration of Algorithm-Hardware Co-Design for Floating-Point Digital Compute-in-Memory.
IEEE Comput. Archit. Lett.
Xiaochen Peng, Haruki Mori, Abhiroop Bhattacharjee, Brian Crafton, Hidehiro Fujiwara, Kerem Akarvardar
2026 J jnl
Ultrafast Generative AI by Ultradense 3D Integration: A Case Study on LLM-based Edge Inference.
ACM Trans. Design Autom. Electr. Syst.
Kerem Akarvardar, Xiaoyu Sun, Brian Crafton, Xiaochen Peng, Haruki Mori, Abhiroop Bhattacharjee, Hidehiro Fujiwara, H.-S. Philip Wong
2025 J jnl
ClipFormer: Key-Value Clipping of Transformers on Memristive Crossbars for Write Noise Mitigation.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
2025 J jnl
DiffAxE: Diffusion-driven Hardware Accelerator Generation and Design Space Exploration.
CoRR
Arkapravo Ghosh, Abhishek Moitra, Abhiroop Bhattacharjee, Ruokai Yin, Priyadarshini Panda
2025 C conf
Low-power Spike-based Wearable Analytics on RRAM Crossbars.
ISCAS
Abhiroop Bhattacharjee, Jinquan Shi, Wei-Chen Chen, Xinxin Wang, Priyadarshini Panda
2025 J jnl
Low-power Spike-based Wearable Analytics on RRAM Crossbars.
CoRR
Abhiroop Bhattacharjee, Jinquan Shi, Wei-Chen Chen, Xinxin Wang, Priyadarshini Panda
2025 A conf
SITRA: Exploiting Temporal Silence in Spiking Transformers for Fast & Energy-efficient Inference.
ISLPED
Abhiroop Bhattacharjee, Abhishek Moitra, Ruokai Yin, Priyadarshini Panda
2025 J jnl
TReX- Reusing Vision Transformer's Attention for Efficient Xbar-Based Computing.
IEEE Trans. Emerg. Top. Comput.
Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda
2024 Misc conf
Are SNNs Truly Energy-efficient? - A Hardware Perspective.
ICASSP
Abhiroop Bhattacharjee, Ruokai Yin, Abhishek Moitra, Priyadarshini Panda
2024 J jnl
ClipFormer: Key-Value Clipping of Transformers on Memristive Crossbars for Write Noise Mitigation.
CoRR
Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
2024 A conf
HaLo-FL: Hardware-Aware Low-Precision Federated Learning.
DATE
Yeshwanth Venkatesha, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
2024 J jnl
MCAIMem: A Mixed SRAM and eDRAM Cell for Area and Energy-Efficient On-Chip AI Memory.
IEEE Trans. Very Large Scale Integr. Syst.
Duy-Thanh Nguyen, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
2024 A* conf
PIVOT- Input-aware Path Selection for Energy-efficient ViT Inference.
DAC
Abhishek Moitra, Abhiroop Bhattacharjee, Priyadarshini Panda
2024 J jnl
PIVOT- Input-aware Path Selection for Energy-efficient ViT Inference.
CoRR
Abhishek Moitra, Abhiroop Bhattacharjee, Priyadarshini Panda
2024 J jnl
RobustEdge: Low Power Adversarial Detection for Cloud-Edge Systems.
IEEE Trans. Emerg. Top. Comput. Intell.
Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda
2024 J jnl
TReX- Reusing Vision Transformer's Attention for Efficient Xbar-based Computing.
CoRR
Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda
2024 J jnl
When In-memory Computing Meets Spiking Neural Networks - A Perspective on Device-Circuit-System-and-Algorithm Co-design.
CoRR
Abhishek Moitra, Abhiroop Bhattacharjee, Yuhang Li, Youngeun Kim, Priyadarshini Panda
2023 J jnl
Are SNNs Truly Energy-efficient? - A Hardware Perspective.
CoRR
Abhiroop Bhattacharjee, Ruokai Yin, Abhishek Moitra, Priyadarshini Panda
2023 A conf
DeepCAM: A Fully CAM-based Inference Accelerator with Variable Hash Lengths for Energy-efficient Deep Neural Networks.
DATE
Duy-Thanh Nguyen, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
2023 J jnl
DeepCAM: A Fully CAM-based Inference Accelerator with Variable Hash Lengths for Energy-efficient Deep Neural Networks.
CoRR
Duy-Thanh Nguyen, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
2023 — conf
Examining the Role and Limits of Batchnorm Optimization to Mitigate Diverse Hardware-noise in In-memory Computing.
ACM Great Lakes Symposium on VLSI
Abhiroop Bhattacharjee, Abhishek Moitra, Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda
2023 J jnl
Examining the Role and Limits of Batchnorm Optimization to Mitigate Diverse Hardware-noise in In-memory Computing.
CoRR
Abhiroop Bhattacharjee, Abhishek Moitra, Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda
2023 J jnl
HyDe: A Hybrid PCM/FeFET/SRAM Device-search for Optimizing Area and Energy-efficiencies in Analog IMC Platforms.
CoRR
Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
2023 J jnl
HyDe: A brid PCM/FeFET/SRAM vice-Search for Optimizing Area and Energy-Efficiencies in Analog IMC Platforms.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
2023 J jnl
MCAIMem: a Mixed SRAM and eDRAM Cell for Area and Energy-efficient on-chip AI Memory.
CoRR
Duy-Thanh Nguyen, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
2023 J jnl
RobustEdge: Low Power Adversarial Detection for Cloud-Edge Systems.
CoRR
Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda
2023 J jnl
SATA: Sparsity-Aware Training Accelerator for Spiking Neural Networks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Ruokai Yin, Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda
2023 J jnl
SpikeSim: An End-to-End Compute-in-Memory Hardware Evaluation Tool for Benchmarking Spiking Neural Networks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Abhishek Moitra, Abhiroop Bhattacharjee, Runcong Kuang, Gokul Krishnan, Yu Cao, Priyadarshini Panda
2023 A* conf
XPert: Peripheral Circuit & Neural Architecture Co-search for Area and Energy-efficient Xbar-based Computing.
DAC
Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda
2023 J jnl
XPert: Peripheral Circuit & Neural Architecture Co-search for Area and Energy-efficient Xbar-based Computing.
CoRR
Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda
2023 J jnl
XploreNAS: Explore Adversarially Robust & Hardware-efficient Neural Architectures for Non-ideal Xbars.
CoRR
Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
2022 A conf
Examining and Mitigating the Impact of Crossbar Non-idealities for Accurate Implementation of Sparse Deep Neural Networks.
DATE
Abhiroop Bhattacharjee, Lakshya Bhatnagar, Priyadarshini Panda
2022 J jnl
Examining and Mitigating the Impact of Crossbar Non-idealities for Accurate Implementation of Sparse Deep Neural Networks.
CoRR
Abhiroop Bhattacharjee, Lakshya Bhatnagar, Priyadarshini Panda
2022 A conf
Examining the Robustness of Spiking Neural Networks on Non-ideal Memristive Crossbars.
ISLPED
Abhiroop Bhattacharjee, Youngeun Kim, Abhishek Moitra, Priyadarshini Panda
2022 J jnl
Examining the Robustness of Spiking Neural Networks on Non-ideal Memristive Crossbars.
CoRR
Abhiroop Bhattacharjee, Youngeun Kim, Abhishek Moitra, Priyadarshini Panda
2022 J jnl
MIME: Adapting a Single Neural Network for Multi-task Inference with Memory-efficient Dynamic Pruning.
CoRR
Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Abhishek Moitra, Priyadarshini Panda
2022 A* conf
MIME: adapting a single neural network for multi-task inference with memory-efficient dynamic pruning.
DAC
Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Abhishek Moitra, Priyadarshini Panda
2022 J jnl
NEAT: Nonlinearity Aware Training for Accurate, Energy-Efficient, and Robust Implementation of Neural Networks on 1T-1R Crossbars.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Abhiroop Bhattacharjee, Lakshya Bhatnagar, Youngeun Kim, Priyadarshini Panda
2022 Misc conf
Rate Coding Or Direct Coding: Which One Is Better For Accurate, Robust, And Energy-Efficient Spiking Neural Networks?
ICASSP
Youngeun Kim, Hyoungseob Park, Abhishek Moitra, Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Priyadarshini Panda
2022 J jnl
Rate Coding or Direct Coding: Which One is Better for Accurate, Robust, and Energy-efficient Spiking Neural Networks?
CoRR
Youngeun Kim, Hyoungseob Park, Abhishek Moitra, Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Priyadarshini Panda
2022 J jnl
SATA: Sparsity-Aware Training Accelerator for Spiking Neural Networks.
CoRR
Ruokai Yin, Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda
2022 J jnl
SpikeSim: An end-to-end Compute-in-Memory Hardware Evaluation Tool for Benchmarking Spiking Neural Networks.
CoRR
Abhishek Moitra, Abhiroop Bhattacharjee, Runcong Kuang, Gokul Krishnan, Yu Cao, Priyadarshini Panda
2021 A conf
Activation Density based Mixed-Precision Quantization for Energy Efficient Neural Networks.
DATE
Karina Vasquez, Yeshwanth Venkatesha, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
2021 J jnl
Activation Density based Mixed-Precision Quantization for Energy Efficient Neural Networks.
CoRR
Karina Vasquez, Yeshwanth Venkatesha, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
2021 — conf
END-TRUE: Emerging Nanotechnology-Based Double-Throughput True Random Number Generator.
VLSI-SoC (Selected Papers)
Shubham Rai, Nishant Gupta, Abhiroop Bhattacharjee, Ansh Rupani, Michael Raitza, Jens Trommer, Thomas Mikolajick, Akash Kumar
2021 A conf
Efficiency-driven Hardware Optimization for Adversarially Robust Neural Networks.
DATE
Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
2021 J jnl
Efficiency-driven Hardware Optimization for Adversarially Robust Neural Networks.
CoRR
Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
2021 C conf
Metastability with Emerging Reconfigurable Transistors: Exploiting Ambipolarity for Throughput.
VLSI-SoC
Abhiroop Bhattacharjee, Shubham Rai, Ansh Rupani, Michael Raitza, Akash Kumar
2020 J jnl
NEAT: Non-linearity Aware Training for Accurate and Energy-Efficient Implementation of Neural Networks on 1T-1R Memristive Crossbars.
CoRR
Abhiroop Bhattacharjee, Lakshya Bhatnagar, Youngeun Kim, Priyadarshini Panda
2020 J jnl
Rethinking Non-idealities in Memristive Crossbars for Adversarial Robustness in Neural Networks.
CoRR
Abhiroop Bhattacharjee, Priyadarshini Panda
2020 J jnl
SwitchX- Gmin-Gmax Switching for Energy-Efficient and Robust Implementation of Binary Neural Networks on Memristive Xbars.
CoRR
Abhiroop Bhattacharjee, Priyadarshini Panda